Rough sets in COVID-19 to predict symptomatic cases

Bhapkar, H.R., Mahalle, P.N., Shinde, G.R. and Mahmud, M. ORCID: 0000-0002-2037-8348, 2021. Rough sets in COVID-19 to predict symptomatic cases. In: K.C. Santosh and A. Joshi, eds., COVID-19: prediction, decision-making, and its impacts. Lecture notes on data engineering and communications technologies (60). Singapore: Springer, Singapore, pp. 57-68. ISBN 9789811596810

Full text not available from this repository.
Item Type: Chapter in book
Creators: Bhapkar, H.R., Mahalle, P.N., Shinde, G.R. and Mahmud, M.
Publisher: Springer, Singapore
Place of Publication: Singapore
Date: 2021
Number: 60
ISBN: 9789811596810
Identifiers:
NumberType
10.1007/978-981-15-9682-7_7DOI
1397315Other
Divisions: Schools > School of Science and Technology
Record created by: Jill Tomkinson
Date Added: 12 Jan 2021 15:54
Last Modified: 12 Jan 2021 15:54
URI: https://irep.ntu.ac.uk/id/eprint/42023

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year